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Genome Software Engineer Jobs (NOW HIRING)

MyOme

Senior Software Engineer

San Francisco, CA

$144K - $190K/yr

To achieve this goal, we combine clinical-grade sequencing, advanced methods for genome ... MyOme is looking for a top-notch senior software engineer to join us on our mission to help people ...

23andMe Research Institute

$160K - $200K/yr

You'll work at the intersection of software engineering and cutting‑edge genetic research ... The company's mission is to help people access, understand, and benefit from the human genome. We ...

Saviance

Senior Bioinformatics Software Engineer

The Senior Bioinformatics Software Engineer plays a critical technical role in the design ... like genome assembly, mapping, variant calling, and annotation. • Design and enhance ETL ...

23andme

Sr. Software Engineer

Palo Alto, CA

$160K - $200K/yr

We're looking for a Senior Software Engineer to help build and operate the systems that make that ... The company's mission is to help people access, understand, and benefit from the human genome ...

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Genome Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do genome software engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for genome software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a genome software engineer?

A Genome Software Engineer is a professional who develops, maintains, and optimizes software tools and systems used for analyzing genomic data. They work at the intersection of computer science and genomics, creating software solutions that help researchers process and interpret large-scale DNA sequencing data. These engineers often collaborate with biologists, bioinformaticians, and data scientists to support genetic research, clinical applications, and biotechnology development.

What are the key skills and qualifications needed to thrive as a genome software engineer?

To thrive as a Genome Software Engineer, you need a strong background in computer science, bioinformatics, and genomics, typically supported by a relevant degree and experience in software development. Familiarity with programming languages (such as Python, C++, or R), genomic data analysis tools (like GATK or SAMtools), and cloud computing platforms is essential. Excellent problem-solving, teamwork, and communication skills help you collaborate effectively with multidisciplinary teams and address complex biological challenges. These competencies ensure the development of robust, efficient software solutions that advance genomic research and healthcare applications.

What are some common challenges genome software engineers face when working with large-scale genomic datasets?

Genome Software Engineers often work with extremely large and complex datasets generated from sequencing projects. A common challenge is ensuring efficient data storage, retrieval, and processing while maintaining data integrity and privacy. Optimizing algorithms for speed and scalability, especially when handling terabytes or petabytes of genomic data, is critical. Additionally, collaboration with biologists and other domain specialists is essential for interpreting requirements and ensuring that software tools meet the specific needs of genomic research.

What are popular job titles related to Genome Software Engineer jobs?

For Genome Software Engineer jobs, the most frequently searched job titles are:

Senior Software Engineer

Providence, RI • Hybrid

Strategic Employment
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Strategic Employmentexternal

$200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About the Role
Location: Providence, RI — on-site 1x per week, hybrid.

We're hiring a Senior Software Engineer to take the reins on the software behind our genome-mapping platform — the technology researchers rely on to uncover the structural variants driving cancer and rare disease — and shape what it becomes next. You'll take responsibility for our existing LabVIEW-based instrument application — feature work, debugging, performance improvements — while also playing a lead role in architecting its next-generation, Python-based replacement. This is hands-on work: you'll be testing and debugging directly against physical lab hardware, not just in simulation, and pairing with AI coding tools to move faster than a small team normally could.

About the Company
We've grown from a small team into a ~90-person organization, backed by a well-capitalized global parent, and we're still small enough that engineers here own real, visible pieces of the product rather than a slice of a much bigger machine. We're a life sciences instrumentation company building the hardware and software behind a next-generation genome analysis platform — precision electronics, nanofluidics, and computational biology combined into a single instrument that gives researchers a level of insight into genome structure that older methods can't match.

Key Responsibilities

  • Own, maintain, and enhance our production LabVIEW instrument application — feature additions, debugging, performance and reliability improvements, and incremental refactoring
  • Lead and contribute to building the next generation of that application on a modern, Python-based stack
  • Write software design and requirements documentation, and help build out a more structured verification and testing strategy
  • Write Python tools for data analysis and integration within the instrument software
  • Collaborate directly with the internal scientists and researchers who use the platform to shape improvements and resolve issues
  • Use AI-assisted coding tools as a core part of your day-to-day workflow

Qualifications

  • 5+ years of professional software development experience, ideally with a BS in Engineering, Computer Science, or a related science field
  • Hands-on, production experience with LabVIEW — able to debug, extend, and refactor an existing production application, not just personal or one-off test scripts
  • Strong Python skills and comfort with object-oriented design and large, distributed architectures
  • Understanding of the full software development lifecycle: requirements, design, implementation, and verification/validation
  • Comfort working directly with physical lab instrumentation as a regular part of the job
  • A pragmatic, collaborative communication style — this is a small, hands-on team, not a rigid corporate structure
  • Nice to have: experience with AI coding assistants, SQL/SQLite, CI/CD tooling, quality-management-system environments (medical device, pharma, or defense), or communication protocols like Serial, TCP/IP, or CAN

What We Offer

  • Up to $200,000 base salary
  • Bonus potential and an equity stake
  • Full benefits: health, dental, vision, 401(k) with 50% match up to 6% of base salary, unlimited vacation, life and disability insurance, paid parental leave
  • The chance to modernize a real, revenue-generating instrument platform and see your work matter immediately, backed by a well-funded parent organization
Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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